AWS vs Azure vs GCP: Choosing the Right Cloud for Your Data Platform

Choosing a cloud provider is one of the most consequential technical decisions your organization will make. Here’s an honest comparison based on our experience deploying data platforms across all three.

AWS: The Broadest Ecosystem

AWS has the widest range of services and the largest market share. Its data services — Redshift, Glue, EMR, Kinesis — are mature and well-documented. If you don’t have strong preferences, AWS is the safe default choice.

Google Cloud: Best for Analytics and ML

GCP’s BigQuery is arguably the best serverless data warehouse available. If your primary workload is analytics and machine learning, GCP offers the smoothest experience. Vertex AI, Dataflow, and Looker form a tightly integrated analytics ecosystem.

Azure: Best for Microsoft Shops

If your organization runs on Microsoft 365, Dynamics, and Power BI, Azure is the natural choice. Azure Synapse, Data Factory, and the tight Power BI integration create a cohesive experience for Microsoft-centric teams.

The Multi-Cloud Reality

Most enterprises end up multi-cloud, whether by choice or through acquisitions. Tools like Snowflake, Databricks, and Terraform help abstract away cloud-specific dependencies. At FinitData, we design architectures that work across clouds so you’re never locked in.